code: def forward(self, adj, h):
      if self.dropout:
          h = self.dropout(h)
      x = h @ self.W
  
      x = adj @ x
      if self.b is not None:
          x = x + self.b
      if self.activation:
          x = self.activation(x)
      return x
  
file_path: DIG/dig/fairgraph/method/Graphair/GCN.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import init
  import torch
label_desc: Use image node_id 3 for calling the GCNLayer obj's underlying member method code with example usage: obj.forward(adj, h) and returns: x